System and Method of Automated Debt Management with Machine Learning

1. A system for automatically managing an activity related to a debt, comprising: a data collection circuit that collects information about entities involved in a plurality of debt transactions, a training data set of outcomes related to the entities, and a training set of debt management activities; a condition classifying circuit that automatically classifies at least one condition of at least one entity of the entities, wherein the condition classifying circuit comprises an artificial intelligence circuit that includes a model, wherein the model is trained using the training data set of outcomes related to the entities collected by the data collection circuit, and wherein the automatic classification of the at least one condition includes one of a rule, a threshold, a conditional procedure, a workflow, or a model parameter; and an automated debt management circuit comprising a set of processors that manage actions related to a debt based upon a classified condition provided by the condition classifying circuit, wherein the automated debt management circuit is trained on the training set of debt management activities collected by the data collection circuit; wherein, responsive to the at least one condition classified by the condition classifying circuit, the automated debt management circuit automatically initiates or performs at least one of offering a debt transaction, underwriting a debt transaction, setting an interest rate, deferring a payment requirement, modifying an interest rate, validating title, managing inspection, recording a change in title, assessing a value of an asset, calling a loan, closing a transaction, setting terms and conditions for a transaction, providing notices required to be provided, foreclosing on a set of assets, modifying terms and conditions, setting a rating for an entity, syndicating debt, or consolidating debt.

2. The system of claim 1, wherein the data collection circuit comprises at least one system selected from a group consisting of: Internet of Things devices, a set of environmental condition sensors, a set of crowdsourcing services, a set of social network analytic services, or a set of algorithms for querying network domains.

3. The system of claim 1, wherein the entities involved in the plurality of debt transactions include at least one of a plurality of parties and a plurality of assets.

5. The system of claim 4, wherein the at least one sensor is selected from a group consisting of: image, temperature, pressure, humidity, velocity, acceleration, rotational, torque, weight, chemical, magnetic field, electrical field, or position.

6. The system of claim 4, further comprising an automated agent circuit structured to process events relevant to at least one of a value, a condition, or an ownership of at least one asset of the plurality of assets, and further structured to undertake at least one action related to a debt transaction to which the at least one asset is related.

7. The system of claim 1, further comprising an interface circuit structured to receive interactions from at least one of the entities and wherein the automated debt management circuit is further trained on the interactions.

8. The system of claim 1, further comprising a market value data collection circuit structured to monitor and report marketplace information relevant to a value of at least one asset of a plurality of assets.

9. The system of claim 8, wherein the market value data collection circuit is further structured to monitor at least one pricing and financial data for items that are similar to at least one asset in the plurality of assets in at least one public marketplace.

10. The system of claim 9, wherein a plurality of similar items for valuing at least one asset from the plurality of assets is constructed using a similarity clustering algorithm based on attributes of the plurality of assets.

11. The system of claim 1, further comprising a smart contract circuit structured to manage a smart contract for a debt transaction.

12. A method for automatically managing an activity related to a debt, comprising: collecting information via a data collection circuit about entities involved in a plurality of debt transactions, a training data set of outcomes related to the entities, and a training set of debt management activities; classifying at least one condition via a condition classifying circuit of at least one entity of the entities based at least in part on the training data set of outcomes related to the entities collected via the data collection circuit, wherein the classification of the at least one condition includes one of a rule, a threshold, a conditional procedure, a workflow, or a model parameter; and managing at least one action related to a debt via an automated debt management circuit comprising a set of processors based at least in part on the training set of debt management activities collected via the data collection circuit and on a condition classification provided by the condition classifying circuit; wherein managing at least one action comprises the automated debt management circuit, responsive to the at least one classified condition provided by the condition classifying circuit, automatically initiating or performing at least one of offering a debt transaction, underwriting a debt transaction, setting an interest rate, deferring a payment requirement, modifying an interest rate, validating title, managing inspection, recording a change in title, assessing a value of an asset, calling a loan, closing a transaction, setting terms and conditions for a transaction, providing notices required to be provided, foreclosing on a set of assets, modifying terms and conditions, setting a rating for an entity, syndicating debt, or consolidating debt.

13. The method of claim 12, wherein the entities involved in the plurality of debt transactions include at least one of a plurality of parties or a plurality of assets.

18. The method of claim 17, wherein monitoring further comprises monitoring at least one of pricing or financial data for items that are similar to at least one asset in the plurality of assets in at least one public marketplace.